Surface Domain Spatial Autocorrelation Analysis of per Unit Area Yield of Grain

4th Annual International Workshop on Materials Science and Engineering

Kong, Hui^1,2,3,4

Shanxi Provincial Land Engineering Construction Group Co. Ltd, Xi'an

710075, China^1

Shaanxi Key Laboratory of Land Consolidation, Xi'an

710075, China^2

Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co. Ltd., Xi'an

710075, China^3

Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Land and Resources, Xi'an

710075, China^4

关键词: Data abstraction;    Geological data;    Grain production;    Scatter diagrams;    Spatial analysis;    Spatial autocorrelation analysis;    Spatial autocorrelations;    Statistical standards;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/381/1/012037/pdf
DOI  :  10.1088/1757-899X/381/1/012037

来源: IOP

【 摘 要 】

This article embarks from the spatial analysis of geographic information system technology, the yield of grain yield data abstraction into planar data form in the GIS, by using geological data model to analyze the space of per unit area yield of grain production since the correlation. Spatial autocorrelation is mainly characterized by spatial autocorrelation coefficient, mainly divided into the global spatial autocorrelation and local spatial autocorrelation two categories, the use of global and local Morans' I analysis method and Morans scatter diagram to analyze the specific statistical standard per unit area yield of grain yield change trend of Shaanxi province.